#!/usr/bin/python37
# coding: utf-8


"""
@version: 1.0
@software: PyCharm
@file: quality_server.py
@time: 2024/9/10 12:18
"""
import threading
from sched import scheduler

import numpy as np
import pandas as pd
import os
import time
import json
import pickle
import configparser
from decimal import Decimal

from PIL import ImageFile


ImageFile.LOAD_TRUNCATED_IMAGES = True
import Flask_water_server

from flask import Flask, request, jsonify
from flask_cors import CORS
from gevent import pywsgi, monkey
monkey.patch_all()

import logging
np.set_printoptions(threshold = 1000000000, linewidth=1245)



class Logger:
    def __init__(self,loggername, logpath, filename):

        self.logger = logging.getLogger(loggername)
        self.logger.setLevel(logging.INFO)
        log_path = logpath # 指定文件输出路径，logs是个文件夹，要加上/
        logname = log_path + filename
        self.fh = logging.FileHandler(logname, encoding = 'utf-8')
        self.fh.setLevel(logging.INFO)

        self.ch = logging.StreamHandler()
        self.ch.setLevel(logging.INFO)

        formatter = logging.Formatter('%(asctime)s-%(name)s-%(levelname)s-%(message)s')
        self.fh.setFormatter(formatter)
        self.ch.setFormatter(formatter)

        self.logger.addHandler(self.fh)
        self.logger.addHandler(self.ch)


    def get_log(self):
        return self.logger

    def get_fh(self):
        return self.fh

    def log_clear(self):
        self.logger.handlers.clear()


class Tool:
    def set_precision(num, digit):
        precision_str = '{:.%d' % (digit) + 'f}'
        dec_val = precision_str.format(Decimal(num))
        return float(dec_val)


    def mean_absolute_percentage_error(y_true, y_pred):
        y_true, y_pred = np.array(y_true), np.array(y_pred)
        return np.mean(np.abs((y_true - y_pred) / y_true)) * 100


    def month_of_year(ts):
        #     ts = str(ts)
        t = time.strptime(ts, "%Y-%m-%d %H:%M")
        tm_mon = t.tm_mon
        return tm_mon


    def day_of_month(ts):
        #     ts = str(ts)
        t = time.strptime(ts, "%Y-%m-%d %H:%M")
        tm_mday = t.tm_mday
        return tm_mday

    def hour_of_day(ts):
        t = time.strptime(ts, "%Y-%m-%d %H:%M")
        tm_hour = t.tm_hour
        return tm_hour

    def min_of_hour(ts):
        t = time.strptime(ts, "%Y-%m-%d %H:%M")
        tm_min = t.tm_min

        return tm_min

    def five_min_of_hour(ts):
        t = time.strptime(ts, "%d/%m/%Y %H:%M:%S")
        tm_min = t.tm_min
        if tm_min % 5 == 0:
            return 1
        else:
            return 0

    def day_of_week(ts):
        t = time.strptime(ts, "%Y-%m-%d %H:%M")
        tm_day = t.tm_wday
        return tm_day

    def week_of_year(day):
        week = int((day - 1) / 7) + 1
        return week

    def time_str(str):
        return str[:-3]

    def time_format(ts):
        t = time.strptime(ts, "%d/%m/%Y %H:%M")
        tm_year = t.tm_year
        tm_month = t.tm_mon
        tm_day = t.tm_mday
        tm_hour = t.tm_hour
        tm_min = t.tm_min

        return '%s-%s-%s %s:%s' %(tm_year, tm_month, tm_day, tm_hour, tm_min)


    def map_season(month):
        # print(month)
        month = int(month)
        if month >= 12 or month <= 2:
            value = 1
        if month >= 3 and month <= 5:
            value = 2
        if month >= 6 and month <= 8:
            value = 3
        else:
            value = 4

        return value

    def map_weather(stat):
        # print(month)

        if stat =='晴':
            value = 1
        if stat =='阴':
            value = 2
        if stat =='小雨':
            value = 3
        if stat =='中雨':
            value = 4
        if stat =='大雨':
            value = 5
        if stat =='暴雨':
            value = 6
        if stat =='阵雨':
            value = 7
        if stat =='多云':
            value = 8
        else:
            value = 9

        return value

    def map_turbidity(turbidity):

        turbidity = int(turbidity)
        if turbidity >= 0 and turbidity < 10:
            value = 1
        if turbidity >= 10 and turbidity <20:
            value = 2
        if turbidity >= 20 and turbidity < 50:
            value = 3
        else:
            value = 4

        return value

    def mean_absolute_percentage_error(y_true, y_pred):
        y_true, y_pred = np.array(y_true), np.array(y_pred)
        return np.mean(np.abs((y_true - y_pred) / y_true)) * 100

    def model_load(path, id):
        path_id = ''.join([path, id, '.pk'])
        with open(path_id, 'rb') as f:
            obj = pickle.load(f)

        return obj

    def dose_cal(in_flow, nh4, coef):
        dose_value = in_flow * (4.58 * (nh4 * coef - 6) + 1.15 * 1.8 * (1 + 2.17)) / 1000 / 38 / 0.5 * 100 + 160
        return dose_value/4


class TN_model:
    def __init__(self, clf):
        self.clf = clf

    def mypredict(self, jsonData):
        try:
            # data = json.loads(jsonData)
            data = jsonData
            in_flow = float(data['lfgawqyq_plc3_Tag17'])
            in_tn = float(data['lfgawqyq_plc3_Tag22'])


        except Exception as e:
            logger.get_log().info("传入的json串不正确\n")

        fe_tn = [in_flow, in_tn]

        fe_tn = np.array(fe_tn).reshape(1, -1)

        src_columns = ['in_flow', 'in_tn']

        result = self.clf.predict(pd.DataFrame(fe_tn, columns=src_columns))

        r = float(result[0])

        r = Tool.set_precision(r, 3)

        if r<0:
            r=0

        return r

class COD_model:
    def __init__(self, clf):
        self.clf = clf

    def mypredict(self, jsonData):
        try:
            # data = json.loads(jsonData)
            data = jsonData
            in_flow = float(data['lfgawqyq_plc3_Tag17'])
            in_cod = float(data['lfgawqyq_plc3_Tag20'])

        except Exception as e:
            logger.get_log().info("传入的json串不正确\n")

        fe_cod = [in_flow, in_cod]
        fe_cod = np.array(fe_cod).reshape(1, -1)

        src_columns = ['in_flow','in_cod']

        result = self.clf.predict(pd.DataFrame(fe_cod, columns=src_columns))

        r = float(result[0])

        r = Tool.set_precision(r, 3)

        if r<0:
            r=0

        return r


app = Flask(__name__)
@app.route('/<name>', methods=['POST'])
def predict(name):
    paths = ['water_quality']
    ip = request.remote_addr
    data = request.get_json()
    data_json = data
    # data_json = json.dumps(data)
    logger.get_log().info('receive from %s = %s ' % (ip, data))

    if str(name) in paths:
        model_path = ""
        obj_cod = Tool.model_load(model_path, cod_model)
        obj_tn = Tool.model_load(model_path, tn_model)

        result_cod = obj_cod.mypredict(data_json)
        result_tn = obj_tn.mypredict(data_json)

        in_flow = data_json['lfgawqyq_plc3_Tag17']
        in_tn = data_json['lfgawqyq_plc3_Tag22']
        in_cod = data_json['lfgawqyq_plc3_Tag20']

        n1_nh4 = data_json['lfgawqyq_plc10_Tag50']
        n2_nh4 = data_json['lfgawqyq_plc10_Tag52']
        s1_nh4 = data_json['lfgawqyq_plc10_Tag51']
        s2_nh4 = data_json['lfgawqyq_plc10_Tag53']

        out_tn = data_json['lfgawqyq_plc10_Tag45']
        out_cod = data_json['lfgawqyq_plc10_Tag43']

        n1_dose = Tool.dose_cal(in_flow, n1_nh4, 0.9)
        n2_dose = Tool.dose_cal(in_flow, n2_nh4, 0.95)
        s1_dose = Tool.dose_cal(in_flow, s1_nh4, 0.9)
        s2_dose = Tool.dose_cal(in_flow, s2_nh4, 0.95)

        result=[Tool.set_precision(n1_dose, 3), Tool.set_precision(n2_dose, 3),
                Tool.set_precision(3, s1_dose), Tool.set_precision(s2_dose, 3),
                Tool.set_precision(result_cod, 3), Tool.set_precision(result_tn, 3)]

        logger.get_log().info('return to %s = %s\n ' % (ip, result))

        return jsonify(result)

@app.route('/update_water_quality')
def calc():
    data = Flask_water_server.calc_water_quality()
    print('calculate water quality')
    return data,200
@app.route('/')
def home():
    return 'Hello, World!'



if __name__ == "__main__":
    cf = configparser.ConfigParser()
    parent_dir = os.path.dirname(os.path.abspath(__file__))
    cf.read("config.ini")

    server_port = cf.get("config", "port")
    cod_model = cf.get("config", "cod_model")
    tn_model = cf.get("config", "tn_model")

    logpath = cf.get("config", "logpath")
    logname = cf.get("config", "filename")

    logger = Logger(__name__, logpath, logname)





    logger.get_log().info("服务启动\n")
    pywsgi.WSGIServer(('0.0.0.0', int(server_port)), app).serve_forever()